esponsibilities

• Own product strategy and roadmap for an assigned PPL domain portfolio, for example Talent Acquisition, Talent Management, Compensation & Rewards, Employee Support & Services, Workplace & Travel Experience, or PI-SD's AI-enabled products, applying build versus buy principles and the six-dimension evaluation framework used across the PPL portfolio
• Own visibility across every tool, vendor, and contract in your domain, and drive renewal, divestment, and consolidation decisions backed by business cases through the quarterly PPL leadership technology review
• Translate ambiguous employee and business problems into clear product requirements, user stories, and acceptance criteria
• Own the experience and intelligence layer for your domain, keeping Workday and other systems of record as infrastructure while PPL owns the logic built on top of them
• Partner with ESE engineering teams daily through build and delivery, acting as the accountable product voice from requirements through launch
• Apply the vendor capture test to every AI capability in your domain: is it trained on data Autodesk owns and controls, or does it represent vendor capture of Autodesk's logic? Use AI directly in your own research, analysis, prioritization, and execution
• Build trust and alignment across technical and business stakeholders, and drive decisions without relying on direct authority
• Drive adoption of what you build, including bringing stakeholders who previously owned their own tech decisions through the transition to a centralized model with trust intact
• Define and own the KPIs for your domain, connecting product-level metrics to the broader PPL talent strategy, and build the dashboards and leading indicators that make performance visible before problems compound
• Identify portfolio risks, redundancies, and opportunities early, and bring recommendations, not open questions, to leadership before they surface as escalations
• Build new domain and technical fluency quickly as the portfolio and tools evolve, rather than waiting for structured training

Minimum Qualifications

• Bachelor's degree in Business, Human Resources, Information Systems, Computer Science, or a related field, or equivalent practical experience
• 8+ years of product management experience owning a product or platform from definition through delivery and operation
• Experience operating with minimal oversight, setting direction, and influencing senior stakeholders to make significant product decisions independently
• Experience partnering directly with engineering teams to scope, sequence, and ship technical work
• Demonstrated ability to operate in ambiguous environments where requirements and ownership are not yet fully defined
• A track record of picking up new domains, tools, or technical skills quickly and applying them under real deadlines
• Strong written and verbal communication skills, with the ability to translate complex technical or process detail for both business and technical audiences

Preferred Qualifications

• Experience with HR or people technology platforms, for example Workday, Eightfold, or learning and talent systems
• Experience building or scaling internal enterprise products, data platforms, or integration services
• Experience using generative AI or AI-assisted tools directly in product management workflows
• Experience in a high-ownership, high-velocity product organization where senior product managers operate with significant autonomy and are expected to proactively identify problems and opportunities rather than wait to be assigned them
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